Digital Literacy of Older Person in Hanoi, Vietnam
Keywords:
Digital literacy, older persons, life satisfaction, Hanoi Vietnam, digital health literacy, digital financial literacy, cognitive flexibilityAbstract
Digital literacy theory which holds that the digital revolution has had a massive influence on economies in several aspects has now become contested, as the world is entering aging population; the benefits of such innovations are not evenly distributed, especially among elderlies. In response to the problem, this study employed a cross-sectional dataset of 400 older persons from Hanoi, Vietnam. SPSS was used to analyze the data. The dataset was examined by applying parametric statistical tools, including the T-test, analysis of variance (ANOVA), and structural equation modeling (SEM). The finding suggested that motivated elderlies were more likely to indulge in digital literacy and were capable of assessing information relating to their health and finances. Further, the result indicated that individuals with proper digital literacy indeed experienced that they were socially connected and were cognitively flexible.
References
Anderson, M., & Perrin, A. (2017). Technology Use among Seniors. Washington, DC: Pew Research Center for Internet & Technology.
Anderson, M., Perrin, A., Jiang, J., & Kumar, M. (2019). 10% of Americans don’t Use the Internet. Who are They? Pew Research Center.
Arthanat, S., Vroman, K. G., Lysack, C., & Grizzetti, J. (2019). Multi-stakeholder perspectives on information communication technology training for older adults: Implications for teaching and learning. Disability and Rehabilitation: Assistive Technology, 14(5), 453-461. https://doi.org/10.1080/17483107.2018.1493752
Bae, S. M. (2022). The mediating effect of digital literacy on the relationship between smartphone use motives and life satisfaction for senior citizens in Korea. Iranian Journal of Public Health, 51(2), 336. https://doi.org/10.18502/ijph.v51i2.8686
Bang, K. S., Tak, S. H., Oh, J., Yi, J., Yu, S. Y., & Trung, T. Q. (2017). Health status and the demand for healthcare among the elderly in the rural Quoc-Oai District of Hanoi in Vietnam. BioMed Research International, Article 4830968. https://doi.org/10.1155/2017/4830968
Barbosa Neves, B., Franz, R., Judges, R., Beermann, C., & Baecker, R. (2019). Can digital technology enhance social connectedness among older adults? A feasibility study. Journal of Applied Gerontology, 38(1), 49-72. https://doi.org/10.1177/0733464817741369
Bawden, D. (2008). Origins and concepts of digital literacy. In Lankshear, C., & Knobel, M. (Eds.). Digital Literacies: Concepts, Policies and Practices. New York: Peter Lang Publishing.
Baym, N. K. (2015). Personal Connections in the Digital Age. 2nd ed. New Jersey: Wiley.
Bronfenbrenner, U. (1979). The Ecology of Human Development: Experiments by Nature and Design. Cambridge, MA: Harvard University Press.
Byrne, B. M. (2013). Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming. New York: Routledge.
Chandra, S. (2019). Acceptance of the online world by the elderly of an ageing city in India: Study of Kolkata. International Journal of Social Science and Economic Research, 4(5). 3492-3509.
Chen, K., & Chan, A. H. (2011). A review of technology acceptance by older adults. Gerontechnology, 10(1), 1-12. https://doi.org/10.4017/gt.2011.10.01.006.00
Chen, K., & Chan, A. H. S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: A senior technology acceptance model (STAM). Ergonomics, 57(5), 635-652. https://doi.org/10.1080/00140139.2014.895855
Courtin, E., & Knapp, M. (2017). Social isolation, loneliness and health in old age: A scoping review. Health & Social Care in the Community, 25(3), 799-812. https://doi.org/10.1111/hsc.12311
Dao, A., Nguyen, V. T., Nguyen, H. V., & Nguyen, L. T. (2018). Factors associated with depression among the elderly living in urban Vietnam. BioMed Research International, 2018. https://doi.org/10.1155/2018/2370284
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Delivala, D. (2022). Digital financial literacy a must for older adults. YourStory. Retrieved from https://yourstory.com/2022/12/digital-financial-literacy-must-older-adults.
Epstein, S. (2008). Intuition from the perspective of cognitive-experiential self-theory. In Plessner, H., Betsch, C., & Betsch, T. (Eds.). Intuition in Judgment and Decision Making. New Jersey: Lawrence Erlbaum Associates Publishers.
Gaia, A., Sala, E., & Cerati, G. (2021). Social networking sites use and life satisfaction. A quantitative study on older people living in Europe. European Societies, 23(1), 98-118. https://doi.org/10.1080/14616696.2020.1762910
General Statistics Office of Vietnam. (2019). Completed Results of the 2019 Viet Nam Population and Housing Census. Hanoi, Vietnam: Statistical Publishing House.
General Statistics Office of Vietnam. (2020). Report on Labour Force Survey 2020. Retrieved from https://www.gso.gov.vn/en/data-and-statistics/2022/02/report-on-labor-force-survey-2020-2/.
Glinskaya, E. E. et al. (2021). Vietnam-adapting to an aging society (Vietnamese). World Bank Group. Retrieved from https://documents.worldbank.org/en/publication/documents-reports/documentdetail/784411632385661926.
Heart, T., & Kalderon, E. (2013). Older adults: Are they ready to adopt health-related ICT? International Journal of Medical Informatics, 82(11), e209-e231. https://doi.org/10.1016/j.ijmedinf.2011.03.002
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Lincolnwood, IL: Scientific Software International, Inc.
Karavidas, M., Lim, N. K., & Katsikas, S. L. (2005). The effects of computers on older adult users. Computers in Human Behavior, 21(5), 697-711. https://doi.org/10.1016/j.chb.2004.03.012
Kemp, E. et al. (2021). Health literacy, digital health literacy and the implementation of digital health technologies in cancer care: The need for a strategic approach. Health Promotion Journal of Australia, 32, 104-114. https://doi.org/10.1002/hpja.387
Kuchler, B. (2019). Granovetter (1985): Economic action and social structure: The problem of embeddedness. In Holzer, B., & Stegbauer, C. (Eds.), Schlüsselwerke der Netzwerkforschung. Wiesbaden, Germany: Wiesbaden.
Lee, C. C., Czaja, S. J., Moxley, J. H., Sharit, J., Boot, W. R., Charness, N., & Rogers, W. A. (2019). Attitudes toward computers across adulthood from 1994 to 2013. The Gerontologist, 59(1), 22-33. https://doi.org/10.1093/geront/gny081
Lee, M. A., Ferraro, K. F., & Kim, G. (2021). Digital technology use and depressive symptoms among older adults in Korea: Beneficial for those who have fewer social interactions? Aging & Mental Health, 25(10), 1839-1847. https://doi.org/10.1080/13607863.2020.1839863
Luo, Y. F., Yang, S. C., Chen, A. S., & Chiang, C. H. (2018). Associations of eHealth literacy with health services utilization among college students: Cross-sectional study. Journal of Medical Internet Research, 20(10), e283. https://doi.org/10.2196/jmir.8897
Lyons, A. C., & Kass‐Hanna, J. (2021). A methodological overview to defining and measuring “digital” financial literacy. Financial Planning Review, 4(2), e1113. https://doi.org/10.1002/cfp2.1113
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. https://doi.org/10.1037/1082-989X.1.2.130
Martin, M. M., & Anderson, C. M. (1998). The cognitive flexibility scale: Three validity studies. Communication Reports, 11(1), 1-9. https://doi.org/10.1080/08934219809367680
Martin, M. M., & Rubin, R. B. (1994). Development of a communication flexibility measure. Southern Journal of Communication, 59(2), 171-178. https://doi.org/10.1080/10417949409372934
Martin, M. M., & Rubin, R. B. (1995). A new measure of cognitive flexibility. Psychological Reports, 76(2), 623-626. https://doi.org/10.2466/pr0.1995.76.2.623
Martínez-Alcalá, C. I., Rosales-Lagarde, A., Pérez-Pérez, Y. M., Lopez-Noguerola, J. S., Bautista-Díaz, M. L., & Agis-Juarez, R. A. (2021). The effects of COVID-19 on the digital literacy of the elderly: Norms for digital inclusion. Frontiers in Education, 6(716025). https://doi.org/10.3389/feduc.2021.716025
Mitsutake, S., Shibata, A., Ishii, K., Okazaki, K., & Oka, K. (2011). Developing Japanese version of the eHealth literacy scale (eHEALS). [Nihon Koshu Eisei Zasshi] Japanese Journal of Public Health, 58(5), 361-371.
Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The need to promote digital financial literacy for the digital age. Think20 Japan 2019. Retrieved from https://t20japan.org/wp-content/uploads/2019/03/t20-japan-tf7-3-need-promote-digital-financial-literacy.pdf.
Norman, C. D., & Skinner, H. A. (2006). eHEALS: the eHealth literacy scale. Journal of Medical Internet Research, 8(4), e507. https://doi.org/10.2196/jmir.8.4.e27
Pallant, J. (2020). SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS. 7th ed. London: Routledge.
Perdigoto, M., & Picoto, W. (2012). Analysing intention and action in mobile banking services. Portuguese Journal of Management Studies, 17(2), 133-152.
Perrin, A., & Atske, S. (2021). 7% of Americans don’t use the internet. Who are they? Pew Research Center. Retrieved from https://www.pewresearch.org/short-reads/2021/04/02/7-of-americans-dont-use-the-internet-who-are-they/.
Prensky, M. (2001). Digital natives, digital immigrants part 2: Do they really think differently? On The Horizon, 9(6), 1-6. https://doi.org/10.1108/10748120110424843
Ractham, P., Techatassanasoontorn, A., & Kaewkitipong, L. (2022). Old but not out: Social media use and older adults' life satisfaction. Australasian Journal of Information Systems, 26. https://doi.org/10.3127/ajis.v26i0.3269
Roloff, M. E., & Berger, C. R. (1982). Social cognition and communication: An introduction. In Roloff, M. E., & Berger, C. R. (Eds.). Social Cognition and Communication. Beverly Hills, CA: Sage.
Roque, N. A., & Boot, W. R. (2018). A new tool for assessing mobile device proficiency in older adults: the mobile device proficiency questionnaire. Journal of Applied Gerontology, 37(2), 131-156. https://doi.org/10.1177/0733464816642582
Sagar, M. E. (2021). Predictive role of cognitive flexibility and self-control on social media addiction in university students. International Education Studies, 14(4), 1-10. https://doi.org/10.5539/ies.v14n4p1
Sala, E., Cerati, G., & Gaia, A. (2023). Are social media users more satisfied with their life than non-users? A study on older Italians. Ageing & Society, 43(1), 76-88. https://doi.org/10.1017/S0144686X21000416
Samuel, P. (2021). Vietnam’s digital transformation plan through 2025. Vietnam Briefing. Retrieved from https://www.vietnam-briefing.com/news/vietnams-digital-transformation-plan-through-2025.html/.
Saunders, E. J. (2004). Maximizing computer use among the elderly in rural senior centers. Educational Gerontology, 30(7), 573-585. https://doi.org/10.1080/03601270490466967
Schmidt-Hertha, B., & Strobel-Dümer, C. (2013). Computer literacy among the generations: How can older adults participate in digital society? In Zarifis, G., & Gravani, M. (Eds.). Challenging the 'European area of Lifelong Learning. Dordrecht, Netherlands: Springer.
Shiferaw, K. B., Tilahun, B. C., Endehabtu, B. F., Gullslett, M. K., & Mengiste, S. A. (2020). E-health literacy and associated factors among chronic patients in a low-income country: A cross-sectional survey. BMC Medical Informatics and Decision Making, 20(1), 1-9. https://doi.org/10.1186/s12911-020-01202-1
Taskin, B., & Ok, C. (2022). Impact of digital literacy and problematic smartphone use on life satisfaction: Comparing pre-and post-COVID-19 pandemic. European Journal of Investigation in Health, Psychology and Education, 12(9), 1311-1322. https://doi.org/10.3390/ejihpe12090091
Trinder, K., Guiller, J., Margaryan, A., Littlejohn, A., & Nicol, D. (2008). Learning from digital natives: Bridging formal and informal learning. Higher Education, 1, 1-57.
Truong, S. A., Bui, T. C., Goodkind, D., & Knodel, J. (1997). Living arrangements, patrilineality and sources of support among elderly Vietnamese. Asia-Pacific Population Journal, 12(4), 69-88. https://doi.org/10.18356/4c9cf7d7-en
Tsai, H. Y. S., Shillair, R., Cotten, S. R., Winstead, V., & Yost, E. (2015). Getting grandma online: Are tablets the answer for increasing digital inclusion for older adults in the US? Educational Gerontology, 41(10), 695-709. https://doi.org/10.1080/03601277.2015.1048165
van Dijk, J. (2019). The Digital Divide. Cambridge: Polity Press.
Wagner, N., Hassanein, K., & Head, M. (2010). Computer use by older adults: A multi-disciplinary review. Computers in Human Behavior, 26(5), 870-882. https://doi.org/10.1016/j.chb.2010.03.029
Williamson, C. (2005). Ecological theory of human information behavior. In Fisher, K. E., Erdelez, S., & McKechnie L. E. F. (Eds.). Theories of Information Behavior. Medford, OR: Information Today Inc.
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